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2020 IEEE ANDESCON, ANDESCON 2020(1)
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ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
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Anova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
Conference ObjectAbstract: The number of extracted features for fault diagnosis in rotating machinery can grow considerably duePalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineeringAutores:Alvarez X., Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Milton F. Barragán-Landy, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusData-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift
Conference ObjectAbstract: Condition-based maintenance aims to determine the machine state in real time, by monitoring the signPalabras claves:Concept drift, concept evolution, Fault Detection, Jensen-Shannon divergence, Kullback-Leibler divergenceAutores:Diego R. Cabrera, Lanzarini L.C., Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:scopusDemand Forecasting for Textile Products Using Machine Learning Methods
Conference ObjectAbstract: Due to its close relationship with various operational decisions, market demand forecasting has beenPalabras claves:Demand Forecast, google trends, Machine learning, TEXTILE INDUSTRYAutores:Héctor Medina, Lorena Siguenza-Guzman, Mario Peña, Wilson Rodrigo Pérez RocanoFuentes:scopusFast feature selection based on cluster validity index applied on data-driven bearing fault detection
Conference ObjectAbstract: The Prognostics and Health Management (PHM) approach aims to reduce potential failures or machine doPalabras claves:bearings, classification, Cluster validity index, Fault Detection, feature selectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:googlescopusFeature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings
Conference ObjectAbstract: The number of features for fault diagnosis in rotating machinery can be large due to the different aPalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineering, KnnAutores:Alvarez X., Barragán Milton, Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusImproved Rainfall Pbkp_rediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region
ArticleAbstract: Precipitation is the most relevant element in the hydrological cycle and vital for the biosphere. HoPalabras claves:Autores:Angel Vázquez-Patiño, Avilés-Añazco A., Darío Zhiña, Mario Peña, Martín MontenegroFuentes:scopusPoincare<sup>́</sup> Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks
ArticleAbstract: Most of the approaches of feature extraction for data-driven rotating machinery fault diagnosis assuPalabras claves:Artificial Intelligence, big data and analytics, data-driven engineering, engineering informatics, gearbox fault severity diagnosis, machine learning for engineering applicationsAutores:Diego R. Cabrera, Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopus